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2026 skill intelligence

RAG

Which roles require it and how much it matters — mapped across real job-role profiles.

Short answer: RAG is asked for by 1 of the 103 job-role profiles Skilture maps, and is a core requirement in 1 — only by AI Engineer.

Source: Skilture's 103 job-role profiles · Updated

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RAG snapshot103 roles mapped
Roles that list it
1 of 103
Core requirement
1 rolenon-negotiable there
Skill type
Technicalhard, teachable
Where it is asked for

Who hires for RAG?

The roles in Skilture's catalogue that list RAG, and how heavily each one weights it.

Targeting one of these roles? Grab the ATS resume keywords:

In the interview

How interviewers test RAG

Real questions from Skilture's interview banks, with what the interviewer is listening for.

  1. AI Engineer · basic

    What is Retrieval Augmented Generation (RAG)? Explain a scenario where RAG would be more beneficial than using a standalone Large Language Model.

    Listen for: The candidate should define RAG as combining retrieval with generation and provide a clear example, such as answering questions based on proprietary documents. A red flag would be confusing RAG with fine-tuning or not understanding its primary benefit of grounding responses in external data.

What it pays · United States

What roles that use RAG pay in the US

Annual wages in US dollars for the roles above: median, and the 10th–90th percentile range.

RoleMedianRange
AI Engineer$135,980$82,460 – $214,670

United States, USD. Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics), 2025; each median links to its occupation. India (INR): no sourced figure for these roles yet, so none is shown.

Learn next

Skills that pair with RAG

Employers hiring for RAG most often ask for these alongside it.

FAQ

RAG: common questions

Is RAG worth learning in 2026?
RAG is listed in 1 of the 103 job-role profiles Skilture maps, and it is a core requirement in 1 of them. Explore the roles above to see where it matters most, then run a free skill gap analysis to see if you already have it.
Which jobs require RAG?
Roles that ask for RAG include AI Engineer. You can check how your own skills match any of these roles with Skilture's free skill gap analysis — no signup required.
How do interviewers test RAG?
A typical question, from AI Engineer interviews: "What is Retrieval Augmented Generation (RAG)? Explain a scenario where RAG would be more beneficial than using a standalone Large Language Model." What the interviewer listens for: The candidate should define RAG as combining retrieval with generation and provide a clear example, such as answering questions based on proprietary documents. A red flag would be confusing RAG with fine-tuning or not understanding its primary benefit of grounding responses in external data.

Is RAG on your resume?

Upload your resume and see how your skills — including RAG — stack up against your target role. Free, private, 60 seconds.